G

generative-model

🔧🔗https://github.com/FoundationVision/VAR [NeurIPS 2024 Oral][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An ultra-simple, user-friendly yet state-of-the-art codebase for autoregressive image generation!

https://github.com/THUDM/ImageReward [NeurIPS 2023] ImageReward: Learning and Evaluating Human Preferences for Text-to-image Generation

🔧🔗https://github.com/modelscope/scepter SCEPTER is an open-source framework used for training, fine-tuning, and inference with generative models.

🔧🔗https://github.com/markovka17/vqvae VQVAE | VAE | GumbelVAE | PixelCNN

🔧🔗https://github.com/poloclub/diffusion-explainer

Diffusion Explainer: Visual Explanation for Text-to-image Stable Diffusion

🔧🔗https://github.com/forhaoliu/hybrid-discriminative-generative

Hybrid Discriminative-Generative Training via Contrastive Learning